Hanlin Cai, Jiaqi Hu, Zhengyang Li, W. H. Lim, M. Mokayef, C. Wong
{"title":"An IoT Garbage Monitoring System for Effective Garbage Management","authors":"Hanlin Cai, Jiaqi Hu, Zhengyang Li, W. H. Lim, M. Mokayef, C. Wong","doi":"10.1109/CENIM56801.2022.10037387","DOIUrl":null,"url":null,"abstract":"Nowadays, with the increasing output of municipal waste, the pressure on municipal waste treatment is increasing. In this case, utilizing low-cost and low-power IoT technology to improve urban waste management has become a popular trend. This paper proposes an intelligent garbage management system for urban communities: Garbage Manager. The Garbage Manager aspires to create energy-efficient and real-time waste detection based on IoT and data visualization technology. In this work, the NodeMCU chip integrated with a high-precision ultrasonic sensor is used to measure the height of the waste in the garbage bin and transmits the data to the database through the Ali-cloud IoT platform. In addition, a web page is created as a graphical user interface to display the status of the garbage bins in real-time. Experimental results show that the Garbage Manager is able to decrease the manpower from clearing the garbage by 24.07 % and reduce the garbage overflow times by 83.33 %.","PeriodicalId":118934,"journal":{"name":"2022 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CENIM56801.2022.10037387","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Nowadays, with the increasing output of municipal waste, the pressure on municipal waste treatment is increasing. In this case, utilizing low-cost and low-power IoT technology to improve urban waste management has become a popular trend. This paper proposes an intelligent garbage management system for urban communities: Garbage Manager. The Garbage Manager aspires to create energy-efficient and real-time waste detection based on IoT and data visualization technology. In this work, the NodeMCU chip integrated with a high-precision ultrasonic sensor is used to measure the height of the waste in the garbage bin and transmits the data to the database through the Ali-cloud IoT platform. In addition, a web page is created as a graphical user interface to display the status of the garbage bins in real-time. Experimental results show that the Garbage Manager is able to decrease the manpower from clearing the garbage by 24.07 % and reduce the garbage overflow times by 83.33 %.